Renowned Speakers
Henry M. Sobell
University of Rochester USA
Haesu Ko
National Institute of Animal Science South Korea
Martine Hamann
University of Leicester UK
Gregg S. Pettis
Louisiana State University USA
Michael L. Nickerson
National Institutes of Health Bethesda USA
Gurevich Michael
Multiple Sclerosis Center, Sheba Medical Center Israel
Anat Achiron
Tel-Aviv University Sackler School of Medicine Israel
Rozana Oliveira Goncalves
Gonçalo Moniz Research Center Brazil
Recommended Global Biochemistry Webinars & Conferences
Europe & UK
Asia Pacific & Middle East
Canada
Genomics Congress 2019
About Conference
About Conference
Conference Series LLC Ltd is esteemed to invite you to join the “World Congress on Genomics and Bioinformatics” which will be held from November 14 -15, 2019 at Brisbane, Australia which includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions. The main theme of the Conference is “Exceeding the Vision in Genomics & Bioinformatics”.
Conference Series Organizes 1000+ Global Events Every Year across USA, Europe & Asia with support from 1000 more scientific societies and Publishes 700+ Open access journals which contains over 100000 eminent personalities, reputed scientists as editorial board members.
The broad subject coverage of the conference and its size provide an excellent setting for participants to gain valuable insight into progress in research areas beyond their own. In addition, a range of special sessions aims to engage participants on wider issues, such as teaching in the genomics as well as bioinformatics research.
The conference will explore the recent advancements and new methodologies that can be applied to the research to take genomics and bioinformatics, one step further. The Genomics along with bioinformatics has a strong emphasis on support and inspiration for the next generation of scientists, along with early-career researchers, a Young Researchers Forum, and activities to encourage interaction with peers and experts.
We anticipate an energizing 2-day scientific event, entrepreneurship meeting, poster presentations, exhibition, and keynote presentation in the charming city of Brisbane.
Target Audience:
This event will provide platform for business delegates, B2B meetings, poster presentations, workshops, symposia, networking and more. It will offer a platform wherein you can ensure enormous exposure and networking by exhibiting products and services.
- Directors of Bioinformatics and Drug Discovery or related Programs or Associations
- Heads, Deans and Professors of Bioinformatics and Drug Discovery departments
- Bioinformaticians, Bioinformatics researchers, Pharmaceutical Companies
- Proteomicists, Physicians, Medical Informaticians
- Doctors
- Business Professionals
- Scientists and Researcher organizers
- Research Scholar
- Lab Technicians
- Healthcare professionals
- Founders and Employees of the related companies
- Clinical investigators & Researcher
- Hospitals and Health Services
- Pharmaceutical companies
- Laboratory members
- Training institutions
- Support organizers
- Bioinformatics, Biomedical Informatics and Drug Discovery training and education
- Biomedical Research organizations, societies and associations
- Medical Informatics Research Organizations, societies and associations
- Proteomics Organizations, societies and associations
- Genetics societies and associations and so on…
Sessions/Tracks
Track 1: Genomics
Genomics is an interdisciplinary field of science focusing on the structure, function, evolution, mapping, and editing of genomes. A genome is an organism's complete set of DNAs, including all its genes. In contrast to genetics, which refers to the study of individual genes and their roles in inheritance, genomics aims at the collective characterization and quantification of genes, which direct the production of proteins with the assistance of enzymes and messenger molecules. In turn, proteins make up body structures such as organs and tissues as well as control chemical reactions and carry signals between cells. Genomics also involves the sequencing and analysis of genomes through uses of high throughput DNA sequencing and bioinformatics to assemble and analyze the function and structure of entire genomes. Advances in genomics have triggered a revolution in discovery-based research and systems biology to facilitate understanding of even the most complex biological systems such as the brain.
Relevant Conferences:
Related Association:
Track 2: Proteomics
Proteomics is the large-scale study of proteins. Proteins are vital parts of living organisms, with many functions. The proteome is the entire set of proteins that are produced or modified by an organism or system. Proteomics has enabled the identification of ever-increasing numbers of protein. This varies with time and distinct requirements, or stresses, that a cell or organism undergoes. Proteomics is an interdisciplinary domain that has benefitted greatly from the genetic information of various genome projects, including the Human Genome Project. It covers the exploration of proteomes from the overall level of protein composition, structure, and activity. It is an important c component of functional genomics.
Proteomics generally refers to the large-scale experimental analysis of proteins and proteomes but is often specifically used to refer to protein purification and mass spectrometry.
Relevant Conferences:
Related Association:
Track 3: Bioinformatics
Bioinformatics is both an umbrella term for the body of biological studies that use computer programming as part of their methodology, as well as a reference to specific analysis "pipelines" that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidate’s genes and single nucleotide polymorphisms (SNPs). Often, such identification is made with the aim of better understanding the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organizational principles within nucleic acid and protein sequences, called proteomics.
Relevant Conferences:
Related Association:
Track 4: Metabolomics
Metabolomics is the scientific study of chemical processes involving metabolites, the small molecule intermediates and products of metabolism. Specifically, metabolomics is the "systematic study of the unique chemical fingerprints that specific cellular processes leave behind", the study of their small-molecule metabolite profiles. The metabolome represents the complete set of metabolites in a biological cell, tissue, organ or organism, which are the end products of cellular processes. mRNA gene expression data and proteomic analyses reveal the set of gene products being produced in the cell, data that represents one aspect of cellular function. Conversely, metabolic profiling can give an instantaneous snapshot of the physiology of that cell, and thus, metabolomics provides a direct "functional readout of the physiological state" of an organism. One of the challenges of systems biology and functional genomics is to integrate genomics, transcriptomic, proteomic, and metabolomic information to provide a better understanding of cellular biology.
Relevant Conferences:
Related Association:
Track 5: Pharmacogenomics
Pharmacogenomics is the study of the role of the genome in drug response. Its name (pharmaco- + genomics) reflects its combining of pharmacology and genomics. Pharmacogenomics analyzes how the genetic makeup of an individual affects his/her response to drugs. It deals with the influence of acquired and inherited genetic variation on drug response in patients by correlating gene expression or single-nucleotide polymorphisms with pharmacokinetics (drug absorption, distribution, metabolism, and elimination) and pharmacodynamics (effects mediated through a drug's biological targets). The term pharmacogenomics is often used interchangeably with pharmacogenetics. Although both terms relate to drug response based on genetic influences, pharmacogenetics focuses on single drug-gene interactions, while pharmacogenomics encompasses a more genome-wide association approach, incorporating genomics and epigenetics while dealing with the effects of multiple genes on drug response.
Relevant Conferences:
Related Association:
Track 6: Evolutionary Biology
Evolutionary Biology is the subfield of biology that studies the evolutionary processes that produced the diversity of life on Earth, starting from a single common ancestor. These processes include natural selection, common descent, and speciation.
Current research has widened to cover the genetic architecture of adaptation, molecular evolution, and the different forces that contribute to evolution including sexual selection, genetic drift and biogeography. The newer field of evolutionary developmental biology ("evo-devo") investigates how embryonic development is controlled, thus creating a wider synthesis that integrates developmental biology with the fields covered by the earlier evolutionary synthesis.
Relevant Conferences:
Related Association:
Track 7: Functional Genomics
The goal of functional genomics is to understand the function of larger numbers of genes or proteins, eventually all components of a genome. A more long-term goal is to understand the relationship between an organism's genome and its phenotype. The term functional genomics is often used broadly to refer to the many technical approaches to study an organism's genes and proteins, including the "biochemical, cellular, and/or physiological properties of each and every gene product" while some authors include the study of nongenic elements in his definition. Functional genomics may also include studies of natural genetic variation over time (such as an organism's development) or space (such as its body regions), as well as functional disruptions such as mutations.
The promise of functional genomics is to generate and synthesize genomic and proteomic knowledge into an understanding of the dynamic properties of an organism. This would provide a more complete picture than studies of single genes. Integration of functional genomics data is also the goal of systems biology.
Relevant Conferences:
Related Association:
Track 8: Structural Genomics
Structural genomics seeks to describe the 3-dimensional structure of every protein encoded by a given genome. This genome-based approach allows for a high-throughput method of structure determination by a combination of experimental and modeling approaches. The principal difference between structural genomics and traditional structural prediction is that structural genomics attempts to determine the structure of every protein encoded by the genome, rather than focusing on one particular protein.
Relevant Conferences:
Related Association:
Track 9: Epigenomics
Epigenomics is the study of the complete set of epigenetic modifications on the genetic material of a cell, known as the epigenome. The field is analogous to genomics and proteomics, which are the study of the genome and proteome of a cell. Epigenetic modifications are reversible modifications on a cell’s DNA or histones that affect gene expression without altering the DNA sequence. Epigenomic maintenance is a continuous process and plays an important role in the stability of eukaryotic genomes by taking part in crucial biological mechanisms like DNA repair. Plant flavones are said to be inhibiting epigenomic marks that cause cancers. Two of the most characterized epigenetic modifications are DNA methylation and histone modification. Epigenetic modifications play an important role in gene expression and regulation and are involved in numerous cellular processes such as in differentiation/development and tumorigenesis. The study of epigenetics on a global level has been made possible only recently through the adaptation of genomic high-throughput assays.
Relevant Conferences:
Related Association:
Track 10: Pathogenomics
Pathogen infections are among the leading causes of infirmity and mortality among humans and other animals in the world. Until recently, it has been difficult to compile information to understand the generation of pathogen virulence factors as well as pathogen behavior in a host environment. The study of pathogenomics attempts to utilize genomic and metagenomics data gathered from high through-put technologies (e.g. sequencing or DNA microarrays), to understand microbe diversity and interaction as well as host-microbe interactions involved in disease states. The bulk of pathogenomics research concerns itself with pathogens that affect human health; however, studies also exist for plant and animal infecting microbes.
Relevant Conferences:
Related Association:
Track 11: Immunomics
Immunomics is the study of immune system regulation and response to pathogens using genome-wide approaches. With the rise of genomic and proteomic technologies, scientists have been able to visualize biological networks and infer interrelationships between genes and/or proteins; recently, these technologies have been used to help better understand how the immune system functions and how it is regulated. Two thirds of the genome are active in one or more immune cell types and less than 1% of genes are uniquely expressed in each type of cell. Therefore, it is critical that the expression patterns of these immune cell types be deciphered in the context of a network, and not as an individual, so that their roles be correctly characterized and related to one another. Defects of the immune system such as autoimmune diseases, immunodeficiency, and malignancies can benefit from genomic insights on pathological processes. For example, analyzing the systematic variation of gene expression can relate these patterns with specific diseases and gene networks important for immune functions.
Relevant Conferences:
Related Association:
Track 12: Oncogenomics
Oncogenomics is a sub-field of genomics that characterizes cancer-associated genes. It focuses on genomic, epigenomic and transcript alterations in cancer.
Cancer is a genetic disease caused by accumulation of DNA mutations and epigenetic alterations leading to unrestrained cell proliferation and neoplasm formation. The goal of oncogenomics is to identify new oncogenes or tumor suppressor genes that may provide new insights into cancer diagnosis, predicting clinical outcome of cancers and new targets for cancer therapies. The success of targeted cancer therapies such as Gleevec, Herceptin and Avastin raised the hope for oncogenomics to elucidate new targets for cancer treatment.
Relevant Conferences:
Related Association:
Track 13: Computational Biology
Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, ecological, behavioral, and social systems. The field is broadly defined and includes foundations in biology, applied mathematics, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, computer science and evolution.
Computational biology is different from biological computing, which is a subfield of computer science and computer engineering using bioengineering and biology to build computers, but is like bioinformatics, which is an interdisciplinary science using computers to store and process biological data.
Relevant Conferences:
Related Association:
Track 14: Phylogenetics
Phylogenetics is the study of the evolutionary history and relationships among individuals or groups of organisms. These relationships are discovered through phylogenetic inference methods that evaluate observed heritable traits, such as DNA sequences or morphology under a model of evolution of these traits. The result of these analyses is a phylogeny a diagrammatic hypothesis about the history of the evolutionary relationships of a group of organisms. The tips of a phylogenetic tree can be living organisms or fossils, and represent the "end", or the present, in an evolutionary lineage. Phylogenetic analyses have become central to understanding biodiversity, evolution, ecology, and genomes.
Relevant Conferences:
Related Association:
Track 15: Bioinformatics Work Flow Management Systems
A bioinformatics workflow management system is a specialized form of workflow management system designed specifically to compose and execute a series of computational or data manipulation steps, or a workflow, that relate to bioinformatics.
There are currently many different workflow systems. Some have been developed more generally as scientific workflow systems for use by scientists from many different disciplines like astronomy and earth science. All such systems are based on an abstract representation of how a computation proceeds in the form of a directed graph, where each node represents a task to be executed and edges represent either data flow or execution dependencies between different tasks. Each system typically provides a visual front-end, allowing the user to build and modify complex applications with little or no programming expertise.
Relevant Conferences:
Related Association:
Track 16: Structural Bioinformatics
Structural bioinformatics is the branch of bioinformatics which is related to the analysis and prediction of the three-dimensional structure of biological macromolecules such as proteins, RNA, and DNA. It deals with generalizations about macromolecular 3D structure such as comparisons of overall folds and local motifs, principles of molecular folding, evolution, and binding interactions, and structure/function relationships, working both from experimentally solved structures and from computational models. The term structural has the same meaning as in structural biology, and structural bioinformatics be a part of computational structural biology.
Relevant Conferences:
Related Association:
Track 17: Drug Design & Development
Bioinformatics is the science that combines the fields of computer science and biology; to apply computational methods and techniques in biological processes to facilitate in data analysis and management. Bioinformatics has its applications in life sciences including genomics, proteomics, systems biology, molecular biology, etc. Drug design and development is an important area in life sciences as with the ever-changing times, the diseases have also greatly advanced in terms of severity and number causing more harm than ever. Drug development is the process of testing a drug against a target that has been selected/identified by drug discovery. However, this whole process is classified under modern drug development approaches.
Relevant Conferences:
Related Association:
Track 18: Data Mining in Genomics and Bioinformatics
There has been a great explosion of genomic data in recent years. This is due to the advances in various high-throughput biotechnologies such as RNA gene expression microarrays. These large genomic data sets are information-rich and often contain much more information than the researchers who generated the data may have anticipated. Such an enormous data volume enables new types of analyses, but also makes it difficult to answer research questions using traditional methods. Analysis of these massive genomic data has several unprecedented challenges.
Relevant Conferences:
Related Association:
Track 19: Next Generation Sequencing
Next-generation sequencing (NGS), also known as high-throughput sequencing, is the catch-all term used to describe several different modern sequencing technologies including:
- Illumina (Solexa) sequencing
- Roche 454 sequencing
- Ion torrent: Proton / PGM sequencing
- SOLiD sequencing
These recent technologies allow us to sequence DNA and RNA much more quickly and cheaply than the previously used Sanger sequencing, and as such have revolutionized the study of genomics and molecular biology.
Relevant Conferences:
Related Association:
Track 20: Molecular Modelling
Molecular modelling encompasses all methods, theoretical and computational, used to model or mimic the behaviour of molecules. The methods are used in the fields of computational chemistry, drug design, computational biology and materials science to study molecular systems ranging from small chemical systems to large biological molecules and material assemblies. The simplest calculations can be performed by hand, but inevitably computers are required to perform molecular modelling of any reasonably sized system. The common feature of molecular modelling methods is the atomistic level description of the molecular systems. This may include treating atoms as the smallest individual unit (a molecular mechanics approach), or explicitly modelling electrons of each atom (a quantum chemistry approach).
Relevant Conferences:
Related Association:
Track 21: Applications of Genomics & Bioinformatics
Genomics & Bioinformatics has a key role to play in areas like agriculture where it can be used for increasing the nutritional content, increasing the volume of the agricultural produce and implanting disease resistance etc. There are large number of applications of genomics & bioinformatics in the fields of medicine, microbial genome applications and agriculture. Using them will allow researchers to reach a new height in their experiments. Major discoveries can be made faster and more efficiently. Today, every large molecular or systems biology project has a bioinformatics component. Genomics & Bioinformatics applications will allow biologists to extend expertise far more efficiently and effectively for data analysis and planning of experiments.
Relevant Conferences:
Related Association:
Market Analysis
The global Genomics and Bioinformatics market is expected to reach USD 27.6 billion by 2025
The past decades have witnessed significant changes in disease management processes due to simultaneous advancements in genomics and personalized medicine. There has been a gradual growth in the usage of genomic studies in clinical practices, which is reflected by the growing trend of targeted therapies.
Results from genomic studies enable a better understanding of diseases and the underlying mechanisms for researchers, physicians, and consumers. This facilitates evidence-based decision-making, and hence, helps improve personalized treatment regime. In addition, technological advancements in data analysis tools have motivated healthcare community to create precision-based therapies from surplus, available DNA data.
Advancements in genomics and associated technologies has significantly impacted crop genetics. Technological advancements in sequencing facilitates genomes & transcriptomes sequencing for several crops. Although a reference genome exists for several crops, resequencing and gene expression studies are required for in-depth study of key genes contributing to the desired trait. Implementation of this information in crop breeding helps in development of advanced crops.
The companies are involved in strategic alliances with global as well as local entities to boost their revenue generation and enhance their share in the market. For instance, in March 2017, Foundation Medicine collaborated with Bristol-Myers Squibb Company, because of which Bristol-Myers Squibb could deploy Foundation Medicine's molecular information solutions and comprehensive genomic profiling for identification of predictive biomarkers, such as Microsatellite Instability (MSI) and Tumor Mutational Burden (TMB), to accelerate its immunotherapy clinical trials. Such initiatives are aimed at increasing the adoption of genomic information in cancer management.
Genomics and Bioinformatics related Associations:
· Center for Bioinformatics and Computational Biology
· European Bioinformatics Institute
· Institute of Bioinformatics and Applied Biotechnology (IBAB)
· Institute of Genomics and Integrative Biology
· Iran Bioinformatics Center
· Korean Bioinformation Center
· Translational Genomics Research Institute
· Japanese society for Bioinformatics
· The Institute of Bioinformatics
· Hub for bioinformatics professionals of Indian origin
· Bioinformatics Society of India
· Genetics Society of China
· EMBL - European Bioinformatics Institute
· Hellenic Society for Computational Biology and Bioinformatics
· Israeli Society for Bioinformatics and Computational Biology
· Helmholtz Network for Bioinformatics
· Society for Bioinformatics in Northern Europe
· National Bioinformatics Institute
· International Genomics Consortium
· North Carolina Genomics & Bioinformatics Consortium
· Northeast Structural Genomics Consortium
To Collaborate Scientific Professionals around the World
Useful Links
Past Conference Report
Supported By
All accepted abstracts will be published in respective Conference Series International Journals.
Abstracts will be provided with Digital Object Identifier by